8 results about "Standard Template Library" patented technology

The application discloses a method, device and equipment for SDK to export a Python interface and a medium, the method comprising the following steps: creating an interface class of Python according to a C++ interface of SDK and binding the interface class, generating an STL standard template library list and a C++ class list associated with a Python type; performing STL standard template library binding according to the STL standard template library list; performing C++ interface parameter class binding according to the C++ class list; and compiling all generated files and linking the files into a library file for output. The application can improve the efficiency of the SDK to export the Python interface, reduce the development workload, is not prone to errors, and is relatively convenient for adding an interface or maintenance in the later period.

The application discloses a method for intelligent matching of trauma center construction scheme resources, and particularly relates to the technical field of medical resource allocation optimization, and comprises the following steps: establishing a standard template library and performing structured coding; obtaining multi-source latest standard information, and dynamically adjusting index weights by incremental learning after structured signature verification; generating a feature vector from the resource information input by a target hospital by lightweight coding, and performing cosine similarity calculation on the feature vector and a template vector to obtain a matching degree; constructing a three-state mutual control type robust weighting model to dynamically correct the matching degree; and finally outputting a candidate scheme that is most matched to the resource structure of the target hospital; the application keeps the template library synchronized with the latest standards through multi-source information acquisition, structured signature verification and incremental learning weight adjustment; and through the construction of the robust weighting model, the matching degree score is dynamically corrected to ensure that the output scheme has credibility, balance and regional adaptability, and the scientificity, practicality and landing feasibility of the recommended result are improved.

This application provides a method, apparatus, electronic device, computer-readable storage medium, and computer program product for predicting the health of tightening equipment. The method includes: obtaining a batch of tightening samples of a target tightening equipment from a preset sample trend library; obtaining target sample drift characteristics of the target tightening equipment based on the batch tightening samples and a preset standard template library; obtaining target equipment drift characteristics of the target tightening equipment based on a first normal sample of the batch tightening samples and the preset standard template library; when the number of abnormal samples in the batch tightening samples exceeds a preset threshold, performing a health prediction based on the target sample drift characteristics and the target equipment drift characteristics to obtain a health prediction result. Abnormal samples refer to workpiece samples with abnormal process inspection results. The health prediction result includes at least one of the following: abnormal component type, abnormal confidence level, and abnormal level. This application can predict potential abnormalities in tightening equipment in advance, improving the accuracy of equipment health prediction results.

The invention discloses a manufacturing method of a floor drawing part in a two-order character pattern, and relates to the technical field of automobile die manufacturing, and the manufacturing method comprises the following steps: scanning out the floor drawing part in a stable state, and generating STL (Standard Template Library) data; a target grid is generated through CATIA repair, and the drawing sequence working molded surface is converted into a reference grid; calculating the space position deviation between the reference grid and the target grid in AutoForm, generating a displacement vector field, and exporting the displacement vector field as a TXT format general compensation file; driving a floor drawing sequence working molded surface control point to generate spatial displacement according to the displacement vector field by utilizing CATIA to generate a reverse conformal curved surface; and outputting the curved surface when the normal distance deviation meets a preset condition. According to the method, accurate conversion from the rebound state to the parameterized molded surface is achieved through data interaction, an original curved surface topological structure is reserved, the problem that the molded surface is not attached is solved, the grinding workload of bench workers is reduced, and the mold manufacturing period is shortened.

The invention discloses a trauma center construction scheme resource intelligent matching method, and particularly relates to the technical field of medical resource configuration optimization, and the method comprises the following steps: building a standard template library, and carrying out the structural coding; obtaining multi-source latest standard information, and dynamically adjusting the index weight by adopting incremental learning after structural signature verification; carrying out lightweight coding on resource information input by a target hospital to generate a feature vector, and carrying out cosine similarity calculation on the feature vector and the template vector to obtain a matching degree; constructing a three-state mutual control type robust weight adjustment model to dynamically correct the matching degree; and finally outputting a candidate scheme which is most matched with the target hospital resource structure. Through multi-source information acquisition, structural signature verification and incremental learning weight adjustment, a template library is kept synchronous with the latest standard; by constructing a robust weight adjustment model and dynamically correcting a matching degree score, an output scheme is ensured to have credibility, balance and regional suitability, and scientificity, practicability and feasibility of a recommendation result are improved.

The invention provides a steel ring quality detection working method capable of quickly judging defect spots, which comprises the following steps of: S1, scanning a complete steel ring by using a contour scanner, processing a scanned image by using a remote intelligent terminal after the scanning is completed, and exporting a file in an STL (Standard Template Library) format; s2, using analysis software PolyWorks to import the CAD model and the triangulation model obtained by scanning into the software, and performing coordinate positioning; s3, selecting a coordinate system according to the design requirement of the steel ring, creating a coordinate axis, setting attributes, determining an original point and a reference element of a workpiece, establishing a feature coordinate system, and mapping the feature coordinate system to a workpiece coordinate system; and S4, executing a steel ring detection generation instruction, and storing and sharing the output feature points and surfaces through a text display format file.

The invention discloses a project collaborative management method, and relates to the technical field of project management data processing. The method comprises the steps of determining a preset standard template library corresponding to a target project type in response to a management instruction of a target project; based on a preset standard template library, establishing an association relationship between the cost item of the target project and the progress task item of the target project; according to the association relationship and the actual execution data of the target project, constructing a collaborative analysis model reflecting the execution state of the target project; generating a cash flow table of the target project based on the collaborative analysis model, and predicting a future cash flow trend of the target project by using a time sequence analysis model; and identifying the execution risk of the target project through a preset collaborative judgment logic and triggering a corresponding risk early warning signal. According to the scheme, combined management of cost, funds and progress can be carried out on the project, and help is provided for improving project management efficiency and finding risk items in time.

The application provides an intelligent auditing analysis method and system for multi-source heterogeneous bank flow data, and relates to the field of data processing.The system comprises a rule configuration and management module, which is used for constructing a standard template library and a rule library; a data access and analysis module, which is used for accessing bank flow files, identifying standard data templates of the bank flow files according to the rule library and the standard template library, analyzing the bank flow files, and generating structured intermediate data; a data processing module, which is used for generating standardized data results meeting the requirements of the standard templates according to the structured intermediate data based on mapping rules corresponding to the standard data templates of the bank flow files; a quality inspection and tracing module, which is used for performing quality inspection on the standardized data results and recording analysis process data; and a result output and report module, which is used for visualizing the standardized data results, and has the advantages of improving the automation level and quality of bank flow data auditing.